- Problem
- Field workers send photos over chat apps. Office staff then download, organize and forward them by hand.
- Our approach
- Each photo is captured with its time and task context, so evidence stays consistent and traceable. AI checks for gaps and quality on the spot.
- Outcome
- Scattered photos become purpose-built evidence reports for customers, internal use and claim defense, which strengthens trust and leaves you better prepared for disputes.
Enterprise AI · Data software
Field photos, weighing and transport records, and trade data, managed in one place
Industrial operations still run on photos in chat apps, email attachments and manual data entry. ECOYA brings scattered field evidence and documents together into one trusted dataset, using AI to close the gap between the field and the ledger.
An enterprise AI company that turns field photos, documents and market signals into software. Operational data is future value.
- Field data
- Photos, video and OCR turn field evidence into structured data.
- AI automation
- AI extracts and cross-checks trade documents; people make the final call.
- Market intelligence
- FX, freight and policy data become trade-risk signals.
Where field operations and trade break down
Scattered field evidence
Photos end up scattered across chat apps and phone galleries. With no standard for who photographs what, teams keep re-shooting and still miss things.
Document mismatches
When quantities and amounts disagree across the PO, invoice, packing list and BL, the problem surfaces late, as a delayed shipment, a settlement error or a claim.
Market-risk blind spots
FX rates, freight, commodity prices and policy news arrive constantly, but nobody translates them into what they mean for your deals and your margin.
One data flow
- 1Field evidence
- 2Trade confirmation
- 3Market judgment
AI does not make the decision. AI checks, people confirm, and only data confirmed that way is trusted.
ECOYA Platform · B2B for operators and field teams
Three products, one flow
ECOYA ERP
BetaA trade ERP with no data entry, so your time goes to decisions.
- Problem
- Staff retype quantities and amounts from the PO, invoice and BL, and mismatches between documents are caught too late.
- Our approach
- Upload a document and AI extracts the fields. Only values a person has confirmed enter the trade ledger, and mismatches between documents are flagged automatically.
- Outcome
- Retyping disappears, mismatches are caught before they cause harm, and management sees trade risk at a glance.
- Problem
- Market signals keep coming, but they never connect to your deals, customers and margin.
- Our approach
- External market signals are linked to the context of your commodity trades and turned into risk signals for each deal, item and customer.
- Outcome
- Vague news becomes a specific deal to check today, so you act before risk lands and protect your margin.
Product status labels reflect the actual stage of development. Ask about beta features when you inquire.
Evidence that can serve EU digital rules for recycled products
The EU is moving toward digital product and recycled-content information, through the packaging regulation (PPWR) and the Digital Product Passport (DPP) established under the ESPR ecodesign regulation. The field and trade data that ECOYA SNAP and Trade OS capture every day is an operational data base that such requirements can draw on.
- What SNAP records
- Time- and location-stamped field photos, plus weigh slips and shipping documents read by OCR. What material was loaded, when, where and how, with the photo to show it.
- What Trade OS connects
- Trade OS (ECOYA ERP) ties contracts, invoices, shipping documents and certificates such as GRS to each deal, so a lot's history can be followed end to end.
- How it connects
- A custom API can be built to deliver this evidence in the format a customer's, certifier's or brand owner's system requires. Which regulation and which schema to target is agreed case by case.
This describes a capability that can be applied, not a guarantee of conformity with any specific regulation or timeline. Rules and schemas are still changing, so each case is checked on its own.
How we build software
ECOYA is a software company that started in the field. We have lived with the inefficiency of industries that run on paper, phone calls and scattered photo files, and we build products to solve exactly that with AI and data. If a feature is not used in the field, we do not build it.
Trade documents and data belong to the customer. Security and access control are designed in from the start, and we hold to one principle: AI checks, people confirm. A data infrastructure that standardizes records and evidence is the future value ECOYA is building.
Value that compounds as data accumulates
- NowLive
Earth (collection requests) and SNAP (field evidence) add new field data every day.
- ScalingBeta
ERP (trade-document automation) and Intelligence (risk signals) are expanding into trade data with beta customers.
- AheadFuture value
As field, trade and market data connect, we aim to become the data infrastructure that reads price, quality and risk for industrial operations.
ECOYA Earth · consumer app (B2C)
Request a recycling pickup from your phone, wherever you are.
Request a pickup for cables, aseptic and milk cartons, aluminum and steel cans, PET bottles and more, and earn Earth Credits and carbon-neutral rewards in return.
How a request works in the app
Sorting guide by item
Aluminum can
Steel can
PET bottle
Bottle cap
Milk carton
Aseptic carton
Newspaper
Takeout container
Find the DX that fits your operation
ECOYA builds enterprise AI software for field operations and trade. Request a demo or get in touch.